Senior Applied Scientist

QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America’s largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products.

The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com. What you'll do: Modeling & Research Depending on your expertise, you may focus on some of the following: · Forecasting o Build and productionize time series models for demand, sales, and inventory (e.g., hierarchical forecasting, intermittent demand, seasonality/trend modeling, multivariate forecasting).

o Develop approaches to handle sparse, volatile, and evolving data environments. · Pricing & Revenue o Develop pricing models and policies, including elasticity estimation, margin optimization, and discounting/contract structures. o Support pricing for quotes and BOMs, including guardrails, risk/margin checks, and complex B2B rules around bundling and substitution. · Supply Chain & Inventory o Design models for inventory planning, replenishment, and allocation under real-world constraints (lead times, MOQs, service levels).

o Build tools to improve fill rates, reduce stockouts, and manage working capital. o Formulate and solve optimization problems (linear, mixed-integer, non-linear, heuristics/approximation) for routing, allocation, capacity, and network flows. o Integrate optimization with forecasting/pricing models to support end-to-end decisions. Across all areas, you’ll: o Combine statistical methods, machine learning, and operations research techniques as appropriate.

o Stay current on relevant research and bring practical, scalable methods into production. Decision Systems & Product Integration o Translate messy business problems into clear technical formulations and evaluate alternative approaches. o Work with engineers to turn models into robust services powering internal tools, APIs, and AI agents (e.g., quoting & BOM agents, pricing copilots, supply planning tools).

o Build or contribute to simulation and scenario analysis frameworks to test policies before rollout. o Define and implement offline and online evaluation (experiments, policy evaluation, counterfactual analysis). Data, Measurement & Experimentation o Partner with data engineering to ensure data quality, structure, and accessibility for modeling. o Define metrics for your domain (forecast accuracy, stockouts, margin impact, quote win rates, price realization, etc.).

o Design experiments and quasi-experiments to measure the business impact of new models and policies. o Clearly communicate findings, trade-offs, and recommendations to stakeholders. Collaboration & Leadership o Work closely with Sales, Marketing, Supply Chain, Finance, and Product teams to understand constraints, workflows, and incentives. o Collaborate with AI Engineers who will embed your models inside intelligent agents and applications.

o Mentor other scientists and engineers; elevate standards around methodology, code quality, and evaluation. o Influence roadmap and strategy by highlighting long-term modeling opportunities and risks. What you'll bring: Required 2+ years of experience in Applied Science / Data Science / Quantitative Research, with a strong record of shipping models into production. Expertise in one or more of the following: Time series forecasting Pricing & revenue management Supply chain / inventory / logistics modeling Operations research / mathematical optimization Proficiency in Python and scientific computing libraries (NumPy, pandas, etc.).

Solid SQL skills and experience working with modern data warehouses/lakehouses. <span style="font-family: verdana, geneva; font-siz